Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 244 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 26.8 KiB |
| Average record size in memory | 112.5 B |
Variable types
| Numeric | 12 |
|---|---|
| Categorical | 5 |
year has constant value "2012" | Constant |
df_index is highly correlated with Region | High correlation |
day is highly correlated with DMC and 1 other fields | High correlation |
Temperature is highly correlated with RH and 6 other fields | High correlation |
RH is highly correlated with Temperature and 4 other fields | High correlation |
Rain is highly correlated with FFMC and 6 other fields | High correlation |
FFMC is highly correlated with Temperature and 8 other fields | High correlation |
DMC is highly correlated with day and 9 other fields | High correlation |
DC is highly correlated with Rain and 6 other fields | High correlation |
ISI is highly correlated with Temperature and 8 other fields | High correlation |
BUI is highly correlated with day and 8 other fields | High correlation |
FWI is highly correlated with Temperature and 8 other fields | High correlation |
Region is highly correlated with df_index | High correlation |
Class is highly correlated with Temperature and 7 other fields | High correlation |
df_index is highly correlated with Region | High correlation |
day is highly correlated with DC and 1 other fields | High correlation |
Temperature is highly correlated with RH and 4 other fields | High correlation |
RH is highly correlated with Temperature and 3 other fields | High correlation |
Rain is highly correlated with FFMC | High correlation |
FFMC is highly correlated with Temperature and 8 other fields | High correlation |
DMC is highly correlated with FFMC and 5 other fields | High correlation |
DC is highly correlated with day and 6 other fields | High correlation |
ISI is highly correlated with Temperature and 7 other fields | High correlation |
BUI is highly correlated with day and 6 other fields | High correlation |
FWI is highly correlated with Temperature and 7 other fields | High correlation |
Region is highly correlated with df_index | High correlation |
Class is highly correlated with Temperature and 6 other fields | High correlation |
df_index is highly correlated with Region | High correlation |
Temperature is highly correlated with FFMC | High correlation |
RH is highly correlated with FFMC | High correlation |
Rain is highly correlated with FFMC and 3 other fields | High correlation |
FFMC is highly correlated with Temperature and 8 other fields | High correlation |
DMC is highly correlated with FFMC and 5 other fields | High correlation |
DC is highly correlated with FFMC and 5 other fields | High correlation |
ISI is highly correlated with Rain and 6 other fields | High correlation |
BUI is highly correlated with FFMC and 5 other fields | High correlation |
FWI is highly correlated with Rain and 6 other fields | High correlation |
Region is highly correlated with df_index | High correlation |
Class is highly correlated with Rain and 6 other fields | High correlation |
year is highly correlated with month and 3 other fields | High correlation |
month is highly correlated with year | High correlation |
Class is highly correlated with year and 1 other fields | High correlation |
Classes is highly correlated with year and 1 other fields | High correlation |
Region is highly correlated with year | High correlation |
df_index is highly correlated with month and 8 other fields | High correlation |
day is highly correlated with DMC and 2 other fields | High correlation |
month is highly correlated with df_index and 5 other fields | High correlation |
Temperature is highly correlated with df_index and 9 other fields | High correlation |
RH is highly correlated with df_index and 7 other fields | High correlation |
Ws is highly correlated with Temperature and 1 other fields | High correlation |
Rain is highly correlated with Temperature and 2 other fields | High correlation |
FFMC is highly correlated with Temperature and 8 other fields | High correlation |
DMC is highly correlated with df_index and 9 other fields | High correlation |
DC is highly correlated with df_index and 7 other fields | High correlation |
ISI is highly correlated with df_index and 9 other fields | High correlation |
BUI is highly correlated with df_index and 9 other fields | High correlation |
FWI is highly correlated with df_index and 9 other fields | High correlation |
Classes is highly correlated with month and 9 other fields | High correlation |
Region is highly correlated with df_index and 1 other fields | High correlation |
Class is highly correlated with month and 9 other fields | High correlation |
df_index is uniformly distributed | Uniform |
Region is uniformly distributed | Uniform |
df_index has unique values | Unique |
Rain has 133 (54.5%) zeros | Zeros |
ISI has 4 (1.6%) zeros | Zeros |
FWI has 9 (3.7%) zeros | Zeros |
Reproduction
| Analysis started | 2022-07-25 13:02:52.947045 |
|---|---|
| Analysis finished | 2022-07-25 13:04:44.572286 |
| Duration | 1 minute and 51.63 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
df_index
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORMUNIQUE| Distinct | 244 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 122.5 |
| Minimum | 0 |
|---|---|
| Maximum | 245 |
| Zeros | 1 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 12.15 |
| Q1 | 60.75 |
| median | 122.5 |
| Q3 | 184.25 |
| 95-th percentile | 232.85 |
| Maximum | 245 |
| Range | 245 |
| Interquartile range (IQR) | 123.5 |
Descriptive statistics
| Standard deviation | 71.45049223 |
|---|---|
| Coefficient of variation (CV) | 0.5832693243 |
| Kurtosis | -1.214936047 |
| Mean | 122.5 |
| Median Absolute Deviation (MAD) | 62 |
| Skewness | 0 |
| Sum | 29890 |
| Variance | 5105.17284 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | 0.4% |
| 155 | 1 | 0.4% |
| 157 | 1 | 0.4% |
| 158 | 1 | 0.4% |
| 159 | 1 | 0.4% |
| 160 | 1 | 0.4% |
| 161 | 1 | 0.4% |
| 162 | 1 | 0.4% |
| 163 | 1 | 0.4% |
| 164 | 1 | 0.4% |
| Other values (234) | 234 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 245 | 1 | |
| 244 | 1 | |
| 243 | 1 | |
| 242 | 1 | |
| 241 | 1 | |
| 240 | 1 | |
| 239 | 1 | |
| 238 | 1 | |
| 237 | 1 | |
| 236 | 1 |
| Distinct | 31 |
|---|---|
| Distinct (%) | 12.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.75409836 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 16 |
| Q3 | 23 |
| 95-th percentile | 29 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.825059228 |
|---|---|
| Coefficient of variation (CV) | 0.5601754557 |
| Kurtosis | -1.198650172 |
| Mean | 15.75409836 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.002806412611 |
| Sum | 3844 |
| Variance | 77.88167038 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 1 | 8 | 3.3% |
| 17 | 8 | 3.3% |
| 30 | 8 | 3.3% |
| 29 | 8 | 3.3% |
| 28 | 8 | 3.3% |
| 27 | 8 | 3.3% |
| 26 | 8 | 3.3% |
| 25 | 8 | 3.3% |
| 24 | 8 | 3.3% |
| 23 | 8 | 3.3% |
| Other values (21) | 164 |
| Value | Count | Frequency (%) |
| 1 | 8 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 8 |
| Value | Count | Frequency (%) |
| 31 | 4 | |
| 30 | 8 | |
| 29 | 8 | |
| 28 | 8 | |
| 27 | 8 | |
| 26 | 8 | |
| 25 | 8 | |
| 24 | 8 | |
| 23 | 8 | |
| 22 | 8 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| July | |
|---|---|
| August | |
| June | |
| September |
Length
| Max length | 9 |
|---|---|
| Median length | 5 |
| Mean length | 5.737704918 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | June |
|---|---|
| 2nd row | June |
| 3rd row | June |
| 4th row | June |
| 5th row | June |
Common Values
| Value | Count | Frequency (%) |
| July | 62 | |
| August | 62 | |
| June | 60 | |
| September | 60 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| july | 62 | |
| august | 62 | |
| june | 60 | |
| september | 60 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| 2012 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2012 |
|---|---|
| 2nd row | 2012 |
| 3rd row | 2012 |
| 4th row | 2012 |
| 5th row | 2012 |
Common Values
| Value | Count | Frequency (%) |
| 2012 | 244 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2012 | 244 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 19 |
|---|---|
| Distinct (%) | 7.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.17213115 |
| Minimum | 22 |
|---|---|
| Maximum | 42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 KiB |
Quantile statistics
| Minimum | 22 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 30 |
| median | 32 |
| Q3 | 35 |
| 95-th percentile | 37.85 |
| Maximum | 42 |
| Range | 20 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.63384326 |
|---|---|
| Coefficient of variation (CV) | 0.1129500325 |
| Kurtosis | -0.1543103757 |
| Mean | 32.17213115 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.1963088795 |
| Sum | 7850 |
| Variance | 13.20481684 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 35 | 29 | |
| 31 | 25 | |
| 34 | 24 | |
| 33 | 23 | |
| 30 | 22 | |
| 36 | 21 | |
| 32 | 21 | |
| 29 | 18 | |
| 28 | 15 | |
| 37 | 9 | 3.7% |
| Other values (9) | 37 |
| Value | Count | Frequency (%) |
| 22 | 2 | 0.8% |
| 24 | 3 | 1.2% |
| 25 | 6 | 2.5% |
| 26 | 5 | 2.0% |
| 27 | 8 | 3.3% |
| 28 | 15 | |
| 29 | 18 | |
| 30 | 22 | |
| 31 | 25 | |
| 32 | 21 |
| Value | Count | Frequency (%) |
| 42 | 1 | 0.4% |
| 40 | 3 | 1.2% |
| 39 | 6 | 2.5% |
| 38 | 3 | 1.2% |
| 37 | 9 | 3.7% |
| 36 | 21 | |
| 35 | 29 | |
| 34 | 24 | |
| 33 | 23 | |
| 32 | 21 |
| Distinct | 62 |
|---|---|
| Distinct (%) | 25.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 61.93852459 |
| Minimum | 21 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 KiB |
Quantile statistics
| Minimum | 21 |
|---|---|
| 5-th percentile | 37 |
| Q1 | 52 |
| median | 63 |
| Q3 | 73.25 |
| 95-th percentile | 86 |
| Maximum | 90 |
| Range | 69 |
| Interquartile range (IQR) | 21.25 |
Descriptive statistics
| Standard deviation | 14.88420018 |
|---|---|
| Coefficient of variation (CV) | 0.2403060176 |
| Kurtosis | -0.5303278714 |
| Mean | 61.93852459 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | -0.2379643933 |
| Sum | 15113 |
| Variance | 221.5394151 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 64 | 10 | 4.1% |
| 55 | 10 | 4.1% |
| 54 | 8 | 3.3% |
| 78 | 8 | 3.3% |
| 58 | 8 | 3.3% |
| 80 | 7 | 2.9% |
| 73 | 7 | 2.9% |
| 68 | 7 | 2.9% |
| 66 | 7 | 2.9% |
| 65 | 7 | 2.9% |
| Other values (52) | 165 |
| Value | Count | Frequency (%) |
| 21 | 1 | 0.4% |
| 24 | 1 | 0.4% |
| 26 | 1 | 0.4% |
| 29 | 1 | 0.4% |
| 31 | 1 | 0.4% |
| 33 | 2 | |
| 34 | 3 | |
| 35 | 1 | 0.4% |
| 36 | 1 | 0.4% |
| 37 | 4 |
| Value | Count | Frequency (%) |
| 90 | 1 | 0.4% |
| 89 | 3 | |
| 88 | 3 | |
| 87 | 4 | |
| 86 | 3 | |
| 84 | 2 | 0.8% |
| 83 | 1 | 0.4% |
| 82 | 3 | |
| 81 | 6 | |
| 80 | 7 |
| Distinct | 18 |
|---|---|
| Distinct (%) | 7.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.50409836 |
| Minimum | 6 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 14 |
| median | 15 |
| Q3 | 17 |
| 95-th percentile | 20 |
| Maximum | 29 |
| Range | 23 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.810178371 |
|---|---|
| Coefficient of variation (CV) | 0.181253905 |
| Kurtosis | 2.602155825 |
| Mean | 15.50409836 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5458812499 |
| Sum | 3783 |
| Variance | 7.897102476 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 14 | 43 | |
| 15 | 40 | |
| 13 | 30 | |
| 17 | 28 | |
| 16 | 27 | |
| 18 | 26 | |
| 19 | 15 | 6.1% |
| 21 | 8 | 3.3% |
| 11 | 7 | 2.9% |
| 12 | 7 | 2.9% |
| Other values (8) | 13 | 5.3% |
| Value | Count | Frequency (%) |
| 6 | 1 | 0.4% |
| 8 | 1 | 0.4% |
| 9 | 2 | 0.8% |
| 10 | 3 | 1.2% |
| 11 | 7 | 2.9% |
| 12 | 7 | 2.9% |
| 13 | 30 | |
| 14 | 43 | |
| 15 | 40 | |
| 16 | 27 |
| Value | Count | Frequency (%) |
| 29 | 1 | 0.4% |
| 26 | 1 | 0.4% |
| 22 | 2 | 0.8% |
| 21 | 8 | 3.3% |
| 20 | 2 | 0.8% |
| 19 | 15 | 6.1% |
| 18 | 26 | |
| 17 | 28 | |
| 16 | 27 | |
| 15 | 40 |
| Distinct | 39 |
|---|---|
| Distinct (%) | 16.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.7606557377 |
| Minimum | 0 |
|---|---|
| Maximum | 16.8 |
| Zeros | 133 |
| Zeros (%) | 54.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0.5 |
| 95-th percentile | 4.355 |
| Maximum | 16.8 |
| Range | 16.8 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 1.999405565 |
|---|---|
| Coefficient of variation (CV) | 2.628528868 |
| Kurtosis | 25.94212272 |
| Mean | 0.7606557377 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.579070596 |
| Sum | 185.6 |
| Variance | 3.997622614 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=39)
| Value | Count | Frequency (%) |
| 0 | 133 | |
| 0.1 | 18 | 7.4% |
| 0.2 | 12 | 4.9% |
| 0.3 | 10 | 4.1% |
| 0.4 | 8 | 3.3% |
| 0.6 | 6 | 2.5% |
| 0.7 | 6 | 2.5% |
| 0.5 | 5 | 2.0% |
| 1.1 | 3 | 1.2% |
| 1.2 | 3 | 1.2% |
| Other values (29) | 40 | 16.4% |
| Value | Count | Frequency (%) |
| 0 | 133 | |
| 0.1 | 18 | 7.4% |
| 0.2 | 12 | 4.9% |
| 0.3 | 10 | 4.1% |
| 0.4 | 8 | 3.3% |
| 0.5 | 5 | 2.0% |
| 0.6 | 6 | 2.5% |
| 0.7 | 6 | 2.5% |
| 0.8 | 2 | 0.8% |
| 0.9 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 16.8 | 1 | |
| 13.1 | 1 | |
| 10.1 | 1 | |
| 8.7 | 1 | |
| 8.3 | 1 | |
| 7.2 | 1 | |
| 6.5 | 1 | |
| 6 | 1 | |
| 5.8 | 1 | |
| 4.7 | 1 |
| Distinct | 173 |
|---|---|
| Distinct (%) | 70.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 77.88770492 |
| Minimum | 28.6 |
|---|---|
| Maximum | 96 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 28.6 |
|---|---|
| 5-th percentile | 47.145 |
| Q1 | 72.075 |
| median | 83.5 |
| Q3 | 88.3 |
| 95-th percentile | 92.185 |
| Maximum | 96 |
| Range | 67.4 |
| Interquartile range (IQR) | 16.225 |
Descriptive statistics
| Standard deviation | 14.33757088 |
|---|---|
| Coefficient of variation (CV) | 0.1840800277 |
| Kurtosis | 1.05520829 |
| Mean | 77.88770492 |
| Median Absolute Deviation (MAD) | 5.7 |
| Skewness | -1.325633262 |
| Sum | 19004.6 |
| Variance | 205.5659387 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 88.9 | 8 | 3.3% |
| 89.4 | 5 | 2.0% |
| 89.3 | 4 | 1.6% |
| 89.1 | 4 | 1.6% |
| 85.4 | 4 | 1.6% |
| 79.9 | 3 | 1.2% |
| 87 | 3 | 1.2% |
| 78.3 | 3 | 1.2% |
| 88.1 | 3 | 1.2% |
| 47.4 | 3 | 1.2% |
| Other values (163) | 204 |
| Value | Count | Frequency (%) |
| 28.6 | 1 | |
| 30.5 | 1 | |
| 36.1 | 1 | |
| 37.3 | 1 | |
| 37.9 | 1 | |
| 40.9 | 1 | |
| 41.1 | 1 | |
| 42.6 | 1 | |
| 44.9 | 1 | |
| 45 | 1 |
| Value | Count | Frequency (%) |
| 96 | 1 | |
| 94.3 | 1 | |
| 94.2 | 1 | |
| 93.9 | 2 | |
| 93.8 | 1 | |
| 93.7 | 1 | |
| 93.3 | 1 | |
| 93 | 1 | |
| 92.5 | 2 | |
| 92.2 | 2 |
| Distinct | 166 |
|---|---|
| Distinct (%) | 68.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.67336066 |
| Minimum | 0.7 |
|---|---|
| Maximum | 65.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0.7 |
|---|---|
| 5-th percentile | 1.9 |
| Q1 | 5.8 |
| median | 11.3 |
| Q3 | 20.75 |
| 95-th percentile | 41.01 |
| Maximum | 65.9 |
| Range | 65.2 |
| Interquartile range (IQR) | 14.95 |
Descriptive statistics
| Standard deviation | 12.36803873 |
|---|---|
| Coefficient of variation (CV) | 0.8428906658 |
| Kurtosis | 2.487598085 |
| Mean | 14.67336066 |
| Median Absolute Deviation (MAD) | 6.9 |
| Skewness | 1.527652386 |
| Sum | 3580.3 |
| Variance | 152.9683821 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7.9 | 5 | 2.0% |
| 12.5 | 4 | 1.6% |
| 1.9 | 4 | 1.6% |
| 9.7 | 3 | 1.2% |
| 4.4 | 3 | 1.2% |
| 2.6 | 3 | 1.2% |
| 8.3 | 3 | 1.2% |
| 2.5 | 3 | 1.2% |
| 1.3 | 3 | 1.2% |
| 16 | 3 | 1.2% |
| Other values (156) | 210 |
| Value | Count | Frequency (%) |
| 0.7 | 1 | 0.4% |
| 0.9 | 2 | |
| 1.1 | 2 | |
| 1.2 | 1 | 0.4% |
| 1.3 | 3 | |
| 1.7 | 1 | 0.4% |
| 1.9 | 4 | |
| 2.1 | 1 | 0.4% |
| 2.2 | 2 | |
| 2.4 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 65.9 | 1 | |
| 61.3 | 1 | |
| 56.3 | 1 | |
| 54.2 | 1 | |
| 51.3 | 1 | |
| 50.2 | 1 | |
| 47 | 1 | |
| 46.6 | 1 | |
| 46.1 | 1 | |
| 45.6 | 1 |
| Distinct | 198 |
|---|---|
| Distinct (%) | 81.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.28811475 |
| Minimum | 6.9 |
|---|---|
| Maximum | 220.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 6.9 |
|---|---|
| 5-th percentile | 7.6 |
| Q1 | 13.275 |
| median | 33.1 |
| Q3 | 68.15 |
| 95-th percentile | 158.86 |
| Maximum | 220.4 |
| Range | 213.5 |
| Interquartile range (IQR) | 54.875 |
Descriptive statistics
| Standard deviation | 47.61966238 |
|---|---|
| Coefficient of variation (CV) | 0.9661489918 |
| Kurtosis | 1.614097336 |
| Mean | 49.28811475 |
| Median Absolute Deviation (MAD) | 23.9 |
| Skewness | 1.479041666 |
| Sum | 12026.3 |
| Variance | 2267.632245 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8 | 5 | 2.0% |
| 7.5 | 4 | 1.6% |
| 8.4 | 4 | 1.6% |
| 8.3 | 4 | 1.6% |
| 7.8 | 4 | 1.6% |
| 8.2 | 4 | 1.6% |
| 7.6 | 4 | 1.6% |
| 17 | 3 | 1.2% |
| 45.1 | 2 | 0.8% |
| 8.5 | 2 | 0.8% |
| Other values (188) | 208 |
| Value | Count | Frequency (%) |
| 6.9 | 1 | 0.4% |
| 7 | 2 | |
| 7.1 | 1 | 0.4% |
| 7.3 | 2 | |
| 7.4 | 2 | |
| 7.5 | 4 | |
| 7.6 | 4 | |
| 7.7 | 2 | |
| 7.8 | 4 | |
| 7.9 | 1 | 0.4% |
| Value | Count | Frequency (%) |
| 220.4 | 1 | |
| 210.4 | 1 | |
| 200.2 | 1 | |
| 190.6 | 1 | |
| 181.3 | 1 | |
| 180.4 | 1 | |
| 177.3 | 1 | |
| 171.3 | 1 | |
| 168.2 | 1 | |
| 167.2 | 1 |
| Distinct | 106 |
|---|---|
| Distinct (%) | 43.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.759836066 |
| Minimum | 0 |
|---|---|
| Maximum | 19 |
| Zeros | 4 |
| Zeros (%) | 1.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.3 |
| Q1 | 1.4 |
| median | 3.5 |
| Q3 | 7.3 |
| 95-th percentile | 13.37 |
| Maximum | 19 |
| Range | 19 |
| Interquartile range (IQR) | 5.9 |
Descriptive statistics
| Standard deviation | 4.15462774 |
|---|---|
| Coefficient of variation (CV) | 0.8728510148 |
| Kurtosis | 0.8298604263 |
| Mean | 4.759836066 |
| Median Absolute Deviation (MAD) | 2.4 |
| Skewness | 1.126950083 |
| Sum | 1161.4 |
| Variance | 17.26093166 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.1 | 8 | 3.3% |
| 1.2 | 7 | 2.9% |
| 1 | 5 | 2.0% |
| 4.7 | 5 | 2.0% |
| 5.2 | 5 | 2.0% |
| 2.8 | 5 | 2.0% |
| 5.6 | 5 | 2.0% |
| 0.4 | 5 | 2.0% |
| 1.5 | 5 | 2.0% |
| 0 | 4 | 1.6% |
| Other values (96) | 190 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.1 | 4 | |
| 0.2 | 4 | |
| 0.3 | 3 | |
| 0.4 | 5 | |
| 0.5 | 2 | 0.8% |
| 0.6 | 4 | |
| 0.7 | 4 | |
| 0.8 | 3 | |
| 0.9 | 2 | 0.8% |
| Value | Count | Frequency (%) |
| 19 | 1 | |
| 18.5 | 1 | |
| 17.2 | 1 | |
| 16.6 | 1 | |
| 16 | 1 | |
| 15.7 | 2 | |
| 15.5 | 1 | |
| 14.3 | 1 | |
| 14.2 | 1 | |
| 13.8 | 2 |
| Distinct | 173 |
|---|---|
| Distinct (%) | 70.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.67336066 |
| Minimum | 1.1 |
|---|---|
| Maximum | 68 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 1.1 |
|---|---|
| 5-th percentile | 2.43 |
| Q1 | 6 |
| median | 12.45 |
| Q3 | 22.525 |
| 95-th percentile | 46.35 |
| Maximum | 68 |
| Range | 66.9 |
| Interquartile range (IQR) | 16.525 |
Descriptive statistics
| Standard deviation | 14.20164844 |
|---|---|
| Coefficient of variation (CV) | 0.8517568071 |
| Kurtosis | 1.979913218 |
| Mean | 16.67336066 |
| Median Absolute Deviation (MAD) | 7.35 |
| Skewness | 1.458466015 |
| Sum | 4068.3 |
| Variance | 201.6868183 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3 | 5 | 2.0% |
| 5.1 | 4 | 1.6% |
| 14.1 | 3 | 1.2% |
| 12.5 | 3 | 1.2% |
| 7.7 | 3 | 1.2% |
| 10.9 | 3 | 1.2% |
| 11.5 | 3 | 1.2% |
| 4.4 | 3 | 1.2% |
| 2.9 | 3 | 1.2% |
| 2.4 | 3 | 1.2% |
| Other values (163) | 211 |
| Value | Count | Frequency (%) |
| 1.1 | 1 | 0.4% |
| 1.4 | 2 | |
| 1.6 | 2 | |
| 1.7 | 2 | |
| 1.8 | 2 | |
| 2.2 | 1 | 0.4% |
| 2.4 | 3 | |
| 2.6 | 2 | |
| 2.7 | 2 | |
| 2.8 | 2 |
| Value | Count | Frequency (%) |
| 68 | 1 | |
| 67.4 | 1 | |
| 64 | 1 | |
| 62.9 | 1 | |
| 59.5 | 1 | |
| 59.3 | 1 | |
| 57.1 | 1 | |
| 54.9 | 1 | |
| 54.7 | 1 | |
| 50.9 | 1 |
| Distinct | 126 |
|---|---|
| Distinct (%) | 51.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.049180328 |
| Minimum | 0 |
|---|---|
| Maximum | 31.1 |
| Zeros | 9 |
| Zeros (%) | 3.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.7 |
| median | 4.45 |
| Q3 | 11.375 |
| 95-th percentile | 21.495 |
| Maximum | 31.1 |
| Range | 31.1 |
| Interquartile range (IQR) | 10.675 |
Descriptive statistics
| Standard deviation | 7.428365676 |
|---|---|
| Coefficient of variation (CV) | 1.05379141 |
| Kurtosis | 0.6553162089 |
| Mean | 7.049180328 |
| Median Absolute Deviation (MAD) | 4.05 |
| Skewness | 1.143242624 |
| Sum | 1720 |
| Variance | 55.18061661 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.4 | 12 | 4.9% |
| 0.8 | 10 | 4.1% |
| 0.1 | 9 | 3.7% |
| 0 | 9 | 3.7% |
| 0.5 | 9 | 3.7% |
| 0.3 | 8 | 3.3% |
| 0.9 | 7 | 2.9% |
| 0.2 | 6 | 2.5% |
| 0.7 | 5 | 2.0% |
| 0.6 | 4 | 1.6% |
| Other values (116) | 165 |
| Value | Count | Frequency (%) |
| 0 | 9 | |
| 0.1 | 9 | |
| 0.2 | 6 | |
| 0.3 | 8 | |
| 0.4 | 12 | |
| 0.5 | 9 | |
| 0.6 | 4 | 1.6% |
| 0.7 | 5 | |
| 0.8 | 10 | |
| 0.9 | 7 |
| Value | Count | Frequency (%) |
| 31.1 | 1 | |
| 30.3 | 1 | |
| 30.2 | 1 | |
| 30 | 1 | |
| 26.9 | 1 | |
| 26.3 | 1 | |
| 26.1 | 1 | |
| 25.4 | 1 | |
| 24.5 | 1 | |
| 24 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| fire | |
|---|---|
| not fire |
Length
| Max length | 8 |
|---|---|
| Median length | 4 |
| Mean length | 5.737704918 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | not fire |
|---|---|
| 2nd row | not fire |
| 3rd row | not fire |
| 4th row | not fire |
| 5th row | not fire |
Common Values
| Value | Count | Frequency (%) |
| fire | 138 | |
| not fire | 106 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| fire | 244 | |
| not | 106 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Region
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORM| Distinct | 2 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| 2 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 122 | |
| 1 | 122 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 122 | |
| 1 | 122 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 138 | |
| 0 | 106 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 138 | |
| 0 | 106 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | day | month | year | Temperature | RH | Ws | Rain | FFMC | DMC | DC | ISI | BUI | FWI | Classes | Region | Class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 1 | June | 2012 | 29 | 57 | 18 | 0.0 | 65.7 | 3.4 | 7.6 | 1.3 | 3.4 | 0.5 | not fire | 1 | 0 |
| 1 | 1 | 2 | June | 2012 | 29 | 61 | 13 | 1.3 | 64.4 | 4.1 | 7.6 | 1.0 | 3.9 | 0.4 | not fire | 1 | 0 |
| 2 | 2 | 3 | June | 2012 | 26 | 82 | 22 | 13.1 | 47.1 | 2.5 | 7.1 | 0.3 | 2.7 | 0.1 | not fire | 1 | 0 |
| 3 | 3 | 4 | June | 2012 | 25 | 89 | 13 | 2.5 | 28.6 | 1.3 | 6.9 | 0.0 | 1.7 | 0.0 | not fire | 1 | 0 |
| 4 | 4 | 5 | June | 2012 | 27 | 77 | 16 | 0.0 | 64.8 | 3.0 | 14.2 | 1.2 | 3.9 | 0.5 | not fire | 1 | 0 |
| 5 | 5 | 6 | June | 2012 | 31 | 67 | 14 | 0.0 | 82.6 | 5.8 | 22.2 | 3.1 | 7.0 | 2.5 | fire | 1 | 1 |
| 6 | 6 | 7 | June | 2012 | 33 | 54 | 13 | 0.0 | 88.2 | 9.9 | 30.5 | 6.4 | 10.9 | 7.2 | fire | 1 | 1 |
| 7 | 7 | 8 | June | 2012 | 30 | 73 | 15 | 0.0 | 86.6 | 12.1 | 38.3 | 5.6 | 13.5 | 7.1 | fire | 1 | 1 |
| 8 | 8 | 9 | June | 2012 | 25 | 88 | 13 | 0.2 | 52.9 | 7.9 | 38.8 | 0.4 | 10.5 | 0.3 | not fire | 1 | 0 |
| 9 | 9 | 10 | June | 2012 | 28 | 79 | 12 | 0.0 | 73.2 | 9.5 | 46.3 | 1.3 | 12.6 | 0.9 | not fire | 1 | 0 |
Last rows
| df_index | day | month | year | Temperature | RH | Ws | Rain | FFMC | DMC | DC | ISI | BUI | FWI | Classes | Region | Class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 234 | 236 | 21 | September | 2012 | 35 | 34 | 17 | 0.0 | 92.2 | 23.6 | 97.3 | 13.8 | 29.4 | 21.6 | fire | 2 | 1 |
| 235 | 237 | 22 | September | 2012 | 33 | 64 | 13 | 0.0 | 88.9 | 26.1 | 106.3 | 7.1 | 32.4 | 13.7 | fire | 2 | 1 |
| 236 | 238 | 23 | September | 2012 | 35 | 56 | 14 | 0.0 | 89.0 | 29.4 | 115.6 | 7.5 | 36.0 | 15.2 | fire | 2 | 1 |
| 237 | 239 | 24 | September | 2012 | 26 | 49 | 6 | 2.0 | 61.3 | 11.9 | 28.1 | 0.6 | 11.9 | 0.4 | not fire | 2 | 0 |
| 238 | 240 | 25 | September | 2012 | 28 | 70 | 15 | 0.0 | 79.9 | 13.8 | 36.1 | 2.4 | 14.1 | 3.0 | not fire | 2 | 0 |
| 239 | 241 | 26 | September | 2012 | 30 | 65 | 14 | 0.0 | 85.4 | 16.0 | 44.5 | 4.5 | 16.9 | 6.5 | fire | 2 | 1 |
| 240 | 242 | 27 | September | 2012 | 28 | 87 | 15 | 4.4 | 41.1 | 6.5 | 8.0 | 0.1 | 6.2 | 0.0 | not fire | 2 | 0 |
| 241 | 243 | 28 | September | 2012 | 27 | 87 | 29 | 0.5 | 45.9 | 3.5 | 7.9 | 0.4 | 3.4 | 0.2 | not fire | 2 | 0 |
| 242 | 244 | 29 | September | 2012 | 24 | 54 | 18 | 0.1 | 79.7 | 4.3 | 15.2 | 1.7 | 5.1 | 0.7 | not fire | 2 | 0 |
| 243 | 245 | 30 | September | 2012 | 24 | 64 | 15 | 0.2 | 67.3 | 3.8 | 16.5 | 1.2 | 4.8 | 0.5 | not fire | 2 | 0 |